org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 0.0 failed 1 times, most recent failure: Lost task 2.0 in stage 0.0 (TID 2, localhost): java.io.IOException: java.lang.ClassNotFoundException: scala.Some

gmane.org | 4 months ago
  1. 0

    Spark cluster computing framework

    gmane.org | 4 months ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 0.0 failed 1 times, most recent failure: Lost task 2.0 in stage 0.0 (TID 2, localhost): java.io.IOException: java.lang.ClassNotFoundException: scala.Some
  2. 0

    Spark throws Exception when constructing Dataframe

    Stack Overflow | 2 months ago | Bindumalini KK
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, localhost): java.lang.NullPointerException
  3. 0

    GitHub comment 15#195071586

    GitHub | 9 months ago | charles2588
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 2, localhost): java.lang.NullPointerException
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  5. 0

    Test SPARKC-218 on b1.4 fails for the following error {code} INFO 12:19:51,265 org.apache.spark.Logging$class (Logging.scala:59) - filters: INFO 12:19:51,265 org.apache.spark.Logging$class (Logging.scala:59) - pushdown filters: ArrayBuffer() ERROR 12:19:51,315 org.apache.spark.Logging$class (Logging.scala:96) - Exception in task 0.0 in stage 65.0 (TID 2657) java.lang.IndexOutOfBoundsException: 2 at com.datastax.spark.connector.UDTValue.productElement(UDTValue.scala:11) at scala.runtime.ScalaRunTime$$anon$1.next(ScalaRunTime.scala:181) at org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$4.apply(CatalystTypeConverters.scala:187) at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$2.apply(ExistingRDD.scala:62) at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$2.apply(ExistingRDD.scala:59) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) at scala.collection.AbstractIterator.to(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885) at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) at org.apache.spark.scheduler.Task.run(Task.scala:70) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) WARN 12:19:51,316 org.apache.spark.Logging$class (Logging.scala:71) - Lost task 0.0 in stage 65.0 (TID 2657, localhost): java.lang.IndexOutOfBoundsException: 2 at com.datastax.spark.connector.UDTValue.productElement(UDTValue.scala:11) at scala.runtime.ScalaRunTime$$anon$1.next(ScalaRunTime.scala:181) at org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$4.apply(CatalystTypeConverters.scala:187) at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$2.apply(ExistingRDD.scala:62) at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$2.apply(ExistingRDD.scala:59) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) at scala.collection.Iterator$class.foreach(Iterator.scala:727) at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) at scala.collection.AbstractIterator.to(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885) at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) at org.apache.spark.scheduler.Task.run(Task.scala:70) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) ERROR 12:19:51,316 org.apache.spark.Logging$class (Logging.scala:75) - Task 0 in stage 65.0 failed 1 times; aborting job [info] - should allow to select specified non-UDT columns from a table containing some UDT columns *** FAILED *** (57 milliseconds) [info] org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 65.0 failed 1 times, most recent failure: Lost task 0.0 in stage 65.0 (TID 2657, localhost): java.lang.IndexOutOfBoundsException: 2 [info] at com.datastax.spark.connector.UDTValue.productElement(UDTValue.scala:11) [info] at scala.runtime.ScalaRunTime$$anon$1.next(ScalaRunTime.scala:181) [info] at org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$4.apply(CatalystTypeConverters.scala:187) [info] at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$2.apply(ExistingRDD.scala:62) [info] at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$2.apply(ExistingRDD.scala:59) [info] at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) [info] at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) [info] at scala.collection.Iterator$class.foreach(Iterator.scala:727) [info] at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) [info] at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) [info] at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) [info] at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) [info] at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) [info] at scala.collection.AbstractIterator.to(Iterator.scala:1157) [info] at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) [info] at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) [info] at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) [info] at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) [info] at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885) [info] at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885) [info] at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765) [info] at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765) [info] at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) [info] at org.apache.spark.scheduler.Task.run(Task.scala:70) [info] at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) [info] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) [info] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) [info] at java.lang.Thread.run(Thread.java:745) [info] [info] Driver stacktrace: [info] at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1266) [info] at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1257) [info] at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1256) [info] at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) [info] at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) [info] at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1256) [info] at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730) [info] at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730) [info] at scala.Option.foreach(Option.scala:236) [info] at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730) [info] at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1450) [info] at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1411) [info] at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) {code} It's due to the new code change in OSS Spark 1.4

    DataStax JIRA | 1 year ago | Alex Liu
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 65.0 failed 1 times, most recent failure: Lost task 0.0 in stage 65.0 (TID 2657, localhost): java.lang.IndexOutOfBoundsException: 2
  6. 0

    ADAM how to improve performance ?

    Google Groups | 2 years ago | Unknown author
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 1 times, most recent failure: Lost task 0.0 in stage 2.0 (TID 4, localhost): java.util.NoSuchElementException: None.get

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    Root Cause Analysis

    1. org.apache.spark.SparkException

      Job aborted due to stage failure: Task 2 in stage 0.0 failed 1 times, most recent failure: Lost task 2.0 in stage 0.0 (TID 2, localhost): java.io.IOException: java.lang.ClassNotFoundException: scala.Some

      at org.apache.spark.util.Utils$.tryOrIOException()
    2. Spark
      Accumulable.readObject
      1. org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:1163)
      2. org.apache.spark.Accumulable.readObject(Accumulators.scala:151)
      2 frames
    3. Java RT
      ObjectInputStream.readObject
      1. sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
      2. sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
      3. sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
      4. java.lang.reflect.Method.invoke(Method.java:497)
      5. java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
      6. java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1896)
      7. java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
      8. java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
      9. java.io.ObjectInputStream.skipCustomData(ObjectInputStream.java:1959)
      10. java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1921)
      11. java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
      12. java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
      13. java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1993)
      14. java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1918)
      15. java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
      16. java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
      17. java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
      17 frames
    4. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
      2. org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98)
      3. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:194)
      3 frames
    5. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames